United Maritime (USEA) Return on Capital Employed [ROCE] (2023 - 2026)
United Maritime (USEA) recorded Return on Capital Employed [ROCE] of 2.77% in Q2 2026, up 1.93 percentage points from 0.84% a year earlier.
United Maritime (USEA) Return on Capital Employed [ROCE] (2023 - 2026) Analysis & Trends
For FY2025, United Maritime reported Return on Capital Employed [ROCE] of -0.43%, down 3.87 percentage points from FY2024.
- Annual Return on Capital Employed [ROCE] has declined for three straight years, with a three-year change of -91.80 percentage points (FY2022 to FY2025).
- Across earlier years, Return on Capital Employed [ROCE] came in at 3.44% in FY2024 (-3.84 pp), 7.29% in FY2023 (-84.08 pp) and 91.37% in FY2022.
- The Q2 2026 figure is the highest quarterly Return on Capital Employed [ROCE] since Q4 2024.
- On a year-over-year basis, Return on Capital Employed [ROCE] rose in 1 of the last four quarters, with an average year-over-year change of -4.43 percentage points.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 165.28 Bn | 159.81 Bn | - | 15.69% |
| 2 | Csx | 87.86 Bn | 84.08 Bn | - | 12.29% |
| 3 | Canadian Pacific Kansas City | 75.56 Bn | 75.27 Bn | - | 6.84% |
| 4 | Norfolk Southern | 71.27 Bn | 65.91 Bn | - | 9.67% |
| 5 | United Parcel Service | 69.70 Bn | 46.62 Bn | - | 11.61% |
| 6 | Fedex | 68.71 Bn | 34.65 Bn | - | 7.01% |
| 7 | Delta Air Lines | 55.32 Bn | 37.50 Bn | - | 10.65% |
| 8 | Old Dominion Freight Line | 37.44 Bn | 36.71 Bn | - | 28.03% |
| 9 | United Airlines Holdings | 36.52 Bn | -19.85 Bn | - | 8.86% |
| 10 | United Maritime | 24.16 Mn | 24.97 Mn | 9.81 Mn | 2.77% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.77% |
| Dec 31, 2025 | -0.49% |
| Sep 30, 2025 | 2.09% |
| Jun 30, 2025 | 0.84% |
| Dec 31, 2024 | 3.39% |
| Jun 30, 2024 | 14.20% |
| Dec 31, 2023 | 5.80% |
| Jun 30, 2023 | 40.89% |
United Maritime Return on Capital Employed [ROCE] API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=return-on-capital-employed-%5Broce%5D&ticker=USEA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "ticker": "USEA", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=return-on-capital-employed-%5Broce%5D&ticker=USEA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();